Reinforced concrete flexural member bearing capacity time-varying probability modeling method based on MC method

The invention relates to a reinforced concrete flexural member bearing capacity time-varying probability modeling method based on an MC method, and belongs to the field of structural reliability analysis, and the method comprises the following steps: taking the thickness c of a concrete protective l...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: MAO YUXIN, XIE HAOYU, NIU SONGSHAN, CHEN YIQIAN, LIU YANG, PAN FEI
Format: Patent
Sprache:chi ; eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator MAO YUXIN
XIE HAOYU
NIU SONGSHAN
CHEN YIQIAN
LIU YANG
PAN FEI
description The invention relates to a reinforced concrete flexural member bearing capacity time-varying probability modeling method based on an MC method, and belongs to the field of structural reliability analysis, and the method comprises the following steps: taking the thickness c of a concrete protective layer and the compressive strength fc of concrete as random processes changing along with time; based on the Monte Carlo principle, generating a certain number of samples according to a known probability model; according to a corresponding calculation model, taking the carbonization residue x0 and the corrosion depth delta cr of the steel bar during cracking as a function of c, taking the corrosion speed lambda e1 of the steel bar before the cracking of the concrete protection layer as a function of c and fc, and taking the functions as random processes x0 (t), lambda e1 (t) and delta cr (t); and by parity of reasoning, correcting the statistical characteristic value of the random process of the unknown probability
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN118194585A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN118194585A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN118194585A3</originalsourceid><addsrcrecordid>eNqNjT0KwkAUhNNYiHqH5wFSBA3EUoJio4XYh7ebiS7sHy-rmNubQA5gNfDNx8wyi3cY3wXRaEkHrwUJ1Fl838KWHJyCkAKL8U_SHFmbNFAyDvmHZZholKBYGTsVLrSwE3RIr9CS4n4cDp6u9YzW2aJj22Mz5yrbnk-P-pIjhgb9eACP1NS3oqiKw76syuPuH-cHlUZDmg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Reinforced concrete flexural member bearing capacity time-varying probability modeling method based on MC method</title><source>esp@cenet</source><creator>MAO YUXIN ; XIE HAOYU ; NIU SONGSHAN ; CHEN YIQIAN ; LIU YANG ; PAN FEI</creator><creatorcontrib>MAO YUXIN ; XIE HAOYU ; NIU SONGSHAN ; CHEN YIQIAN ; LIU YANG ; PAN FEI</creatorcontrib><description>The invention relates to a reinforced concrete flexural member bearing capacity time-varying probability modeling method based on an MC method, and belongs to the field of structural reliability analysis, and the method comprises the following steps: taking the thickness c of a concrete protective layer and the compressive strength fc of concrete as random processes changing along with time; based on the Monte Carlo principle, generating a certain number of samples according to a known probability model; according to a corresponding calculation model, taking the carbonization residue x0 and the corrosion depth delta cr of the steel bar during cracking as a function of c, taking the corrosion speed lambda e1 of the steel bar before the cracking of the concrete protection layer as a function of c and fc, and taking the functions as random processes x0 (t), lambda e1 (t) and delta cr (t); and by parity of reasoning, correcting the statistical characteristic value of the random process of the unknown probability</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240614&amp;DB=EPODOC&amp;CC=CN&amp;NR=118194585A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240614&amp;DB=EPODOC&amp;CC=CN&amp;NR=118194585A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MAO YUXIN</creatorcontrib><creatorcontrib>XIE HAOYU</creatorcontrib><creatorcontrib>NIU SONGSHAN</creatorcontrib><creatorcontrib>CHEN YIQIAN</creatorcontrib><creatorcontrib>LIU YANG</creatorcontrib><creatorcontrib>PAN FEI</creatorcontrib><title>Reinforced concrete flexural member bearing capacity time-varying probability modeling method based on MC method</title><description>The invention relates to a reinforced concrete flexural member bearing capacity time-varying probability modeling method based on an MC method, and belongs to the field of structural reliability analysis, and the method comprises the following steps: taking the thickness c of a concrete protective layer and the compressive strength fc of concrete as random processes changing along with time; based on the Monte Carlo principle, generating a certain number of samples according to a known probability model; according to a corresponding calculation model, taking the carbonization residue x0 and the corrosion depth delta cr of the steel bar during cracking as a function of c, taking the corrosion speed lambda e1 of the steel bar before the cracking of the concrete protection layer as a function of c and fc, and taking the functions as random processes x0 (t), lambda e1 (t) and delta cr (t); and by parity of reasoning, correcting the statistical characteristic value of the random process of the unknown probability</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjT0KwkAUhNNYiHqH5wFSBA3EUoJio4XYh7ebiS7sHy-rmNubQA5gNfDNx8wyi3cY3wXRaEkHrwUJ1Fl838KWHJyCkAKL8U_SHFmbNFAyDvmHZZholKBYGTsVLrSwE3RIr9CS4n4cDp6u9YzW2aJj22Mz5yrbnk-P-pIjhgb9eACP1NS3oqiKw76syuPuH-cHlUZDmg</recordid><startdate>20240614</startdate><enddate>20240614</enddate><creator>MAO YUXIN</creator><creator>XIE HAOYU</creator><creator>NIU SONGSHAN</creator><creator>CHEN YIQIAN</creator><creator>LIU YANG</creator><creator>PAN FEI</creator><scope>EVB</scope></search><sort><creationdate>20240614</creationdate><title>Reinforced concrete flexural member bearing capacity time-varying probability modeling method based on MC method</title><author>MAO YUXIN ; XIE HAOYU ; NIU SONGSHAN ; CHEN YIQIAN ; LIU YANG ; PAN FEI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118194585A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>MAO YUXIN</creatorcontrib><creatorcontrib>XIE HAOYU</creatorcontrib><creatorcontrib>NIU SONGSHAN</creatorcontrib><creatorcontrib>CHEN YIQIAN</creatorcontrib><creatorcontrib>LIU YANG</creatorcontrib><creatorcontrib>PAN FEI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>MAO YUXIN</au><au>XIE HAOYU</au><au>NIU SONGSHAN</au><au>CHEN YIQIAN</au><au>LIU YANG</au><au>PAN FEI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Reinforced concrete flexural member bearing capacity time-varying probability modeling method based on MC method</title><date>2024-06-14</date><risdate>2024</risdate><abstract>The invention relates to a reinforced concrete flexural member bearing capacity time-varying probability modeling method based on an MC method, and belongs to the field of structural reliability analysis, and the method comprises the following steps: taking the thickness c of a concrete protective layer and the compressive strength fc of concrete as random processes changing along with time; based on the Monte Carlo principle, generating a certain number of samples according to a known probability model; according to a corresponding calculation model, taking the carbonization residue x0 and the corrosion depth delta cr of the steel bar during cracking as a function of c, taking the corrosion speed lambda e1 of the steel bar before the cracking of the concrete protection layer as a function of c and fc, and taking the functions as random processes x0 (t), lambda e1 (t) and delta cr (t); and by parity of reasoning, correcting the statistical characteristic value of the random process of the unknown probability</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN118194585A
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Reinforced concrete flexural member bearing capacity time-varying probability modeling method based on MC method
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T17%3A07%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=MAO%20YUXIN&rft.date=2024-06-14&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN118194585A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true